tutorials VS 100-Days-Of-ML-Code

Compare tutorials vs 100-Days-Of-ML-Code and see what are their differences.

tutorials

List of tutorials in ELENA (by ELENA-LANG)
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100-Days-Of-ML-Code

100 Days of ML Coding (by Avik-Jain)
Machine Learning machine-learning-algorithms Infographics Tutorial siraj-raval-challenge siraj-raval Implementation 100-days-of-code-log 100daysofcode Python logistic-regression naive-bayes-classifier linear-regression Svm Linear Algebra scikit-learn support-vector-machines Deep Learning
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InfluxDB - Power Real-Time Data Analytics at Scale
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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tutorials 100-Days-Of-ML-Code
1 3
8 43,337
- -
4.9 0.0
8 days ago 4 months ago
Lex
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

tutorials

Posts with mentions or reviews of tutorials. We have used some of these posts to build our list of alternatives and similar projects.

100-Days-Of-ML-Code

Posts with mentions or reviews of 100-Days-Of-ML-Code. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-07.

What are some alternatives?

When comparing tutorials and 100-Days-Of-ML-Code you can also consider the following projects:

elena-lang - ELENA is a general-purpose language with late binding. It is multi-paradigm, combining features of functional and object-oriented programming. Rich set of tools are provided to deal with message dispatching : multi-methods, message qualifying, generic message handlers, run-time interfaces

100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

project-based-learning - Curated list of project-based tutorials [Moved to: https://github.com/practical-tutorials/project-based-learning]

machine_learning_basics - Plain python implementations of basic machine learning algorithms

awesome-react - A collection of awesome things regarding React ecosystem

Data-science-best-resources - Carefully curated resource links for data science in one place

project-based-learning - Curated list of project-based tutorials

machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.

TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

dive-into-machine-learning - Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)

100DaysOfCode - A GitHub Repo for my #100DaysOfCode challenge projects

awesome-python-data-science - Probably the best curated list of data science software in Python.

tutorials vs elena-lang 100-Days-Of-ML-Code vs 100DaysofMLCode tutorials vs project-based-learning 100-Days-Of-ML-Code vs machine_learning_basics tutorials vs awesome-react 100-Days-Of-ML-Code vs Data-science-best-resources tutorials vs project-based-learning 100-Days-Of-ML-Code vs machine-learning-for-software-engineers tutorials vs TensorFlow-Examples 100-Days-Of-ML-Code vs dive-into-machine-learning 100-Days-Of-ML-Code vs 100DaysOfCode 100-Days-Of-ML-Code vs awesome-python-data-science